AI Finance Automation
AI matches every bank statement line to the right ledger entry on amount, date, reference and pattern.
Why It Matters
The bulk of every statement is routine: a payment in, a receipt out, a transfer that lines up cleanly with a ledger entry. The AI clears those confident matches without asking, so your team never opens them again.
A missing entry, a duplicate, a bank charge with no record, an amount that is off by a little: these are the lines that matter. The AI pulls them out and labels them, so a person looks only at the cases that need judgement.
Every bank line is weighed against your ledger on amount, value date, reference or narration, and the pattern of how a payer usually appears. A match is not a single exact string, so short bank descriptions and inconsistent names still find their entry.
Confident matches are cleared without anyone opening them. Likely matches are grouped into a short confirm queue, so your team approves the ones that look right in a couple of clicks instead of hunting for them across the statement.
Anything that does not fit is labelled with why it was flagged: a missing entry, a duplicate, an unmatched fee, an amount that is off. A person resolves those, and every cleared and confirmed match is written back to your ledger so the books stay in one place.
A single bank line against a single ledger entry, matched on amount, date and reference and cleared automatically.
One bank credit that settles several invoices, or several receipts that make up one deposit, grouped and reconciled together.
Short bank narrations, missing invoice numbers and inconsistent payer names, read on pattern rather than an exact string.
Bank fees, interest and small deductions that never had a ledger entry, flagged so they can be posted correctly.
Repeated credits, reversed transfers and double postings caught before they quietly break the balance.
Entries that hit the bank and the ledger on different days, matched across the gap instead of showing up as a mismatch.
It pulls your bank statement lines and your ledger entries for the period.
It weighs amount, value date, reference and payer pattern for every line.
High-confidence pairs are matched and cleared without a person touching them.
Partial matches are grouped for your team to confirm in a couple of clicks.
Anything that does not fit is labelled and sent to a person to resolve.
Lines matched with no manual step
Time to a closed period
Matching errors in the books
List of real exceptions to work
Warning on duplicates and gaps
Confirm on the edge cases
We build and run ERP and accounting systems, so the AI reads your real ledger and writes back cleanly.
We train the matching on your own statements and payers, not a generic ruleset, so it fits how your money moves.
The AI clears volume and proposes matches. Your team confirms the likely ones and owns the exceptions.
We choose the models that suit your accuracy needs and hosting rules, and can change them later without a rebuild.
We run it alongside your current reconciliation until you trust the results, then switch over.
It is a way to reconcile your bank statement against your ledger without checking every line by hand. AI matches each bank line to the right ledger entry on amount, date, reference and pattern. It clears the confident matches on its own, groups the likely ones for a quick confirm, and flags the true exceptions for a person to review.
It looks at more than the amount. It compares the amount, the value date, the reference or narration, and the pattern of how a payer or vendor usually appears. When several of these line up, it treats the pair as a confident match. When only some line up, it groups the pair as a likely match for you to confirm.
Yes. The point is not to remove people from the close. The AI clears the easy volume and hands your team a short list of only the real exceptions and the likely matches, so a person spends their time on the cases that actually need judgement.
The approach is model agnostic. We fit the matching and language handling to the models that suit your data, your accuracy needs and your hosting rules, and we can change models later without rebuilding your process.
Yes. It reads your bank statement feed and your ledger, whether the ledger sits in your ERP, your accounting system or a database we already run for you, and it writes back the matched and cleared entries so your books stay in one place.
For a single set of accounts it is usually a short project. We start with your real statements and ledger, tune the matching on your own history, and run it alongside your current process until you trust the results.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical first look at your reconciliation.
